{"id":"W2350039982","doi":"","title":"Design of Process Structure of an Embedded Real-Time DBMS","year":2004,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Process (computing); Database; Embedded system; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001256203,0.0003149582,0.0002756029,0.0003846819,0.0004283595,0.001625879,0.001150515,0.0006153164,0.002866443],"category_scores_gemma":[0.001509287,0.000403435,0.0004651603,0.0003244436,0.0007324538,0.001399288,0.0006914011,0.0008758035,0.0007364966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008873081,"about_ca_system_score_gemma":0.001707557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001508839,"about_ca_topic_score_gemma":0.001697929,"domain_scores_codex":[0.9993014,0.0001307005,0.0000698267,0.0001586127,0.0002699599,0.00006947392],"domain_scores_gemma":[0.999511,0.0001160278,0.00004526561,0.0001175666,0.0001702148,0.0000398242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004649459,0.0002052902,0.002930513,0.0007614706,0.0001001033,0.00067895,0.001344938,0.2207407,0.1386274,0.4369918,0.004655032,0.192499],"study_design_scores_gemma":[0.0002167159,0.0004179282,0.0008757185,0.0001454517,0.0001299019,0.0005694973,0.0001560175,0.6895054,0.1485373,0.07449936,0.0848928,0.0000539767],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01258627,0.0001084465,0.9828687,0.0001567601,0.00002635162,0.0001661693,0.00007327669,0.001142812,0.002871328],"genre_scores_gemma":[0.2239034,0.0002242984,0.7676699,0.0001349488,0.00002896292,0.0003505637,0.0002981737,0.0002572629,0.007132418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002866443,"threshold_uncertainty_score":0.009589195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006260866885693593,"score_gpt":0.2155750272079584,"score_spread":0.2093141603222648,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}